7 Characteristics That Make a Remote Patient Monitoring (RPM) Software Efficient

Remote Patient Monitoring (RPM) Software

World Health Organization (WHO) states that chronic diseases are directly responsible for more than 90% of morbidity and mortality rates in high- and middle-income nations. According to the US Centers for Disease Control and Prevention, heart disease, asthma, arthritis, diabetes, and chronic obstructive pulmonary disease (COPD) affect nearly half of adults. Cardiovascular disease, cancer, and chronic respiratory illness are responsible for 31%, 16%, and 7% of deaths, respectively. Chronic illnesses are a burden not only for people and their communities but also for healthcare systems. 

Chronic illnesses put a load on treatment expenditures because they are permanent. The United States claims to spend $3.5 trillion on these conditions, accounting for over 75% of all healthcare spending in the country.

Remote patient monitoring software recognizes and fulfills its critical position in the system, providing high-quality service following its expectations. Thus, governments worldwide are urging action to combat diseases requiring a considerable amount of money to be treated, such as establishing new care models incorporating digital health technologies and remote patient monitoring software tools.

Let us now dive into the top 7 characteristics that make a remote patient monitoring software tool more efficient and advanced.

Top 7 characteristics of a Remote Patient Monitoring Software

1. Sync with Wearable Biosensors 

A clinical decision support algorithm evaluates data for potential concerns, while the patient carers and the health providers are notified if a problem is discovered. Prompt action assures patients have a favorable prognosis. Test and prescription reminders and contact between the patient and the practitioner are also included. Here’s a glimpse of the functionality of the sensors for RPM: 

  • Sensors are implemented on gadgets that can measure physiological indicators with the help of wireless connections. Depending on the manufacturer, the sensors can connect to a central database via WiFi or cellular connection technologies.
  • Local data storage is executed at the patient’s location with interfaces to centralized data repositories. In addition, data from diagnostic applications and healthcare providers are also stored in a centralized repository.
  • Based on the analysis of collected data, diagnostic application software provides treatment suggestions and intervention warnings.

2. High-performance validated algorithms

The performance of data processing algorithms for current condition diagnosis, particularly those linked to arrhythmia (irregular heartbeat) and ischemia (restricted blood flow) detection, is promising.

Our findings show that using RPM in conjunction with intervention algorithms and a clinical protocol in a primary care context can help identify patients who benefit most from monitoring.

Thus, one of the key conclusions reached is that using the application context of patient monitoring is a formidable strategy to generate unique, robust, and practical techniques rather than generic algorithms.

3. Consistent communication among the patients and the care teams

Utilizing a cloud-based system that keeps track of patient’s medical information, billing information, care coordination, and patient interaction. As a result, physicians may easily manage their daily workflow by gaining real-time access to patient information, medical history, and appointments.

It allows patients and care providers to communicate and connect in real-time, no matter where they are. In addition, the software program allows the system to track the patient and their health status at any time and location in a more interactive and advanced procedure. 

Medical professionals and providers may get clinical information quickly and precisely whenever needed with just one touch. It is especially advantageous for chronically ill, acute, or post-operative patients living in rural or isolated areas with limited hospital access.

4. Automation of health measurements and transmissions

Automatic reactions give orders a sense of urgency, saving time and leading to a speedier conclusion and solution to data obtained from medical devices. It updates automatically, resulting in faster replies and fewer delays. Repetitive tasks are completed successfully from time to time thanks to their essential, crucial, and complex algorithms.

For example, suppose a patient wears a smartwatch that monitors heart rate, oxygen level, and respiration rate. In that case, the data is automatically and continually communicated in real-time to their doctor’s remote patient monitoring software. Other devices, such as blood pressure monitors, pulse oximeters, and weight scales, require patients to mount or wear them to collect measures, but the information is still recorded and sent to their doctors.

5. User experience

At every stage of the care cycle, from initial concern to preliminary diagnosis to rapid treatment to post-discharge recovery, remote patient monitoring software assists patients in maintaining balanced health status. Here’s a list of requisites that add up to a formidable RPM user experience:

  • Clarify and prioritize the RPM system’s features.
  • Design integrations with hospital IT systems, plan app architecture and pick a tech stack (for instance, EHR).
  • User trips should be plotted and planned.
  • Intuitive and appealing RPM software UX and UI.
  • RPM software development and testing focus on regulatory compliance (for instance, HIPAA, HITECH, and FDA regulations).

6. Framework for strong cybersecurityUser experience

While implementing RPM initiatives, multiple stakeholders expose private information and locations through applications and biometric devices, all adding to possible cybersecurity and privacy risk exposure. Therefore, a solid cybersecurity architecture is critical to an ideal RPM. 

The remote patient monitoring platform, which complies with the National Cybersecurity Center of Excellence (NCCoE) and National Institute of Standards and Technology (NIST) privacy regulations, ensures a secure virtual environment for all stakeholders.

7. Implementation of clinical procedures

Combining data from remote patient monitoring software with patient health records in the EMR platform gives doctors instant access to a patient’s medical history. As a result, it allows doctors to provide better and more prompt care.

RPM allows healthcare practitioners to perform tasks without requiring too many instructions. In addition, providers, care coordinators, and patient family members gain access to patient data, allowing them to spot possible health problems or costly incidents

Clinicians can respond rapidly to unanticipated health conditions, allowing them to provide medical assistance when necessary. In addition, it reduces physician workload and time by allowing them to prioritize patients who want immediate service.
The remote patient monitoring platform of Equipo presents a comprehensive collection of requisites that makes it stand out among RPM applications. In addition, the system is equipped with innovative features, including a customizable dashboard for care providers and multi-device compatibility, to provide accurate information and tracking of health data. Schedule a demo today to learn more about Equipo’s end-to-end platform that redefines remote patient monitoring.